| 🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠 | |
| https://github.com/labmlai/annotated_deep_learning_paper_implementations | |
| labml-nn-0.4.136 | |
| download~amd64 ~x86 | pypi |